Research Papers:
Untargeted serum metabonomics study of psoriasis vulgaris based on ultra-performance liquid chromatography coupled to mass spectrometry
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Abstract
Li Li1, Chuan-Jian Lu2, Ling Han1, Jing-Wen Deng2, Ze-Hui He3, Yu-Hong Yan2 and Zhong-Zhao Zhang2
1Molecular Biology and Systems Biology Team of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510120, China
2Department of Dermatology, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510120, China
3Large Data Research Team of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510120, China
Correspondence to:
Li Li, email: [email protected]
Chuan-Jian Lu, email: [email protected]
Ling Han, email: [email protected]
Keywords: psoriasis; metabonomics; LC-MS; biomarker; high-throughput
Received: October 07, 2016 Accepted: August 29, 2017 Published: October 06, 2017
ABSTRACT
Psoriasis is a common, chronic, systemic inflammatory skin disease, the etiology and pathogenesis is unclear. An untargeted high-throughput metabonomics method based on liquid chromatography coupled to mass spectrometry was applied to study the serum metabolic changes in psoriasis vulgaris patients, and to discover serum potential biomarkers for identification, diagnosis and exploring pathogenesis of psoriasis. The serum metabolic profiles from 150 subjects (75 psoriasis patients and 75 healthy controls) were acquired, the raw spectrometric data were processed by multivariate statistical analysis, and 44 potential biomarkers were screened out and identified. The potential biomarkers were mainly involved in glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, bile acid biosynthesis, indicated the pathogenesis of psoriasis may be related to the disturbed metabolic pathways.
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PII: 21562